Integrated Taguchi-GRA-RSM optimization and ANN modelling of thermal performance of zinc oxide nanofluids in an automobile radiator

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dc.authoridUniversity, Chitkara/0000-0003-3776-7136
dc.authoridC, Ahamed Saleel/0000-0003-3705-4371
dc.authoridMANOKAR, MUTHU/0000-0001-7523-6796
dc.authoridThakur, Deepak/0000-0002-8489-5061
dc.authorwosidUniversity, Chitkara/AAZ-3040-2021
dc.authorwosidC, Ahamed Saleel/E-4217-2018
dc.authorwosidThakur, Deepak/AAU-9059-2021
dc.authorwosidMANOKAR, MUTHU/AAM-4881-2020
dc.contributor.authorKaladgi, Abdul Razak
dc.contributor.authorAfzal, Asif
dc.contributor.authorManokar, A. Muthu
dc.contributor.authorThakur, Deepak
dc.contributor.authorAgbulut, Umit
dc.contributor.authorAlshahrani, Saad
dc.contributor.authorSubbiah, Ram
dc.date.accessioned2021-12-01T18:51:04Z
dc.date.available2021-12-01T18:51:04Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractImpact of different input variables on the thermal performance features of an automobile radiator was investigated, statistically analyzed, and optimized using the powerful technique-Taguchi's grey relational analysis (GRA) and Response surface methodology (RSM). Polyethylene glycol (PEG) nanofluids containing ZnO nanoparticles of various volume concentrations (0.2%-0.6%) were used. 1-Butyl 3-methylimidazolium bromide [C4mim][Br] ionic liquid was added to reduce particle accumulation and increase nanofluid dispersion. The mini radiator used was an unmixed crossflow type. The analyses were carried out at various flow rates. Thermal performance parameters like Nusselt number (Nu), heat transfer coefficient (htc), pressure drop, and pumping power were optimized by using weighted grey relational grade, depending on the experiments designed using Taguchi's Experiment Design. ANN modelling was used to get a better prediction of the non-linear form of critical data. Optimized Nu, htc, pressure drop, and pumping power were obtained for different combination of Re, air velocity, and nanofluid concentration to maximize. The htc estimated by ANN is found to be reasonably consistent with the experimental findings. From the research findings, it is also inferred that heat transfer enhancement does occur in radiators employing nanofluids but at the expense of the pressure drop and pumping power.en_US
dc.description.sponsorshipKing Khalid University, Saudi Arabia [R.G.P.1/132/42]en_US
dc.description.sponsorshipThe authors extend their appreciation to the Deanship of Scientific Research at King Khalid University, Saudi Arabia for funding this work through Research Group Program under Grant No: R.G.P.1/132/42.en_US
dc.identifier.doi10.1016/j.csite.2021.101068
dc.identifier.issn2214-157X
dc.identifier.scopus2-s2.0-85106562673en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.csite.2021.101068
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10964
dc.identifier.volume26en_US
dc.identifier.wosWOS:000672546200008en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofCase Studies In Thermal Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAutomobile radiatoren_US
dc.subjectForced flowen_US
dc.subjectNanofluidsen_US
dc.subjectGrey relational analysisen_US
dc.subjectANOVAen_US
dc.subjectZinc oxideen_US
dc.subjectComputational Fluid-Dynamicsen_US
dc.subjectArtificial Neural-Networken_US
dc.subjectHeat-Transfer Enhancementen_US
dc.subjectConductivity Enhancementen_US
dc.subjectPressure-Dropen_US
dc.subjectExchangeren_US
dc.subjectTemperatureen_US
dc.subjectAntifreezeen_US
dc.titleIntegrated Taguchi-GRA-RSM optimization and ANN modelling of thermal performance of zinc oxide nanofluids in an automobile radiatoren_US
dc.typeArticleen_US

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